agent-skills

In the author's own words, from each skill's SKILL.md — showing the first 30 of 73 files.

• continuous-learning

  Continuous Learning enables agents to automatically extract successful patterns from completed sessions and codify them into reusable skills, rules, and prompt refinements.

  skills/ai-agent-engineering/continuous-learning/SKILL.md on GitHub (opens in a new tab)

• entity-memory-management

  Entity Memory Management is the systematic extraction, persistence, and retrieval of named entities across agent sessions, enabling long-term contextual awareness that transforms transient conversations into persistent relationships.

  skills/ai-agent-engineering/entity-memory-management/SKILL.md on GitHub (opens in a new tab)

• knowledge-base-injection

  Knowledge Base Injection is the technique of dynamically injecting domain expertise into an agent's context at the moment it is most relevant, using TF-IDF pattern matching and semantic scoring.

  skills/ai-agent-engineering/knowledge-base-injection/SKILL.md on GitHub (opens in a new tab)

• long-horizon-workflows

  Long-Horizon Workflows enable AI agents to execute multi-hour, multi-phase autonomous pipelines that far exceed the scope of a single conversation turn.

  skills/ai-agent-engineering/long-horizon-workflows/SKILL.md on GitHub (opens in a new tab)

• mcp-server-creation

  MCP Server Creation is the skill of building Model Context Protocol servers that expose tools, resources, and capabilities to AI agents through a standardized interface.

  skills/ai-agent-engineering/mcp-server-creation/SKILL.md on GitHub (opens in a new tab)

• memory-persistence

  Memory Persistence enables AI agents to maintain knowledge across sessions, transforming stateless inference calls into stateful, continuously improving systems.

  skills/ai-agent-engineering/memory-persistence/SKILL.md on GitHub (opens in a new tab)

• multi-model-routing

  Multi-Model Routing is the intelligent dispatch of agent tasks to the optimal model provider based on task characteristics, cost constraints, latency requirements, and availability.

  skills/ai-agent-engineering/multi-model-routing/SKILL.md on GitHub (opens in a new tab)

• parallel-agent-orchestration

  Parallel Agent Orchestration is the discipline of dispatching, coordinating, and aggregating results from multiple concurrent subagents to dramatically accelerate complex tasks.

  skills/ai-agent-engineering/parallel-agent-orchestration/SKILL.md on GitHub (opens in a new tab)

• proactive-intelligence

  Proactive Intelligence enables agents to autonomously seek out external information — web searches, API re-pulls, data freshness checks — during analysis without waiting for explicit user requests

  skills/ai-agent-engineering/proactive-intelligence/SKILL.md on GitHub (opens in a new tab)

• token-optimization

  Token Optimization is the systematic reduction of token expenditure across agent operations without sacrificing output quality.

  skills/ai-agent-engineering/token-optimization/SKILL.md on GitHub (opens in a new tab)

• adversarial-resilience

  Adversarial Resilience is the practice of hardening AI agents against deliberate attacks — prompt injection, data exfiltration, sandbox escape, and unauthorized capability escalation.

  skills/claude-mythos/adversarial-resilience/SKILL.md on GitHub (opens in a new tab)

• agent-instinct-system

  The Agent Instinct System implements pre-cognitive reflexes — automatic safety checks and validations that fire before every code change, tool call, or output generation.

  skills/claude-mythos/agent-instinct-system/SKILL.md on GitHub (opens in a new tab)

• anthropic-tool-mastery

  Anthropic Tool Mastery is the definitive skill for leveraging Claude's native tool_use capability to its fullest potential.

  skills/claude-mythos/anthropic-tool-mastery/SKILL.md on GitHub (opens in a new tab)

• cognitive-scaffolding

  Cognitive Scaffolding structures an agent's context window using principles from cognitive science — primacy effects, recency bias, chunking, and attention allocation.

  skills/claude-mythos/cognitive-scaffolding/SKILL.md on GitHub (opens in a new tab)

• context-engineering

  Context Engineering is the discipline of maximizing agent output quality while minimizing token expenditure.

  skills/claude-mythos/context-engineering/SKILL.md on GitHub (opens in a new tab)

• multi-harness-portability

  Multi-Harness Portability is the engineering discipline of writing agent skills, prompts, and configurations that work across every major AI coding harness — Claude Code, Cursor, Codex, Gemini CLI, OpenCode, and beyond.

  skills/claude-mythos/multi-harness-portability/SKILL.md on GitHub (opens in a new tab)

• prompt-architecture

  Prompt Architecture is the structural engineering of agent instructions.

  skills/claude-mythos/prompt-architecture/SKILL.md on GitHub (opens in a new tab)

• self-healing-agents

  Self-Healing Agents are autonomous systems that detect their own failure modes and self-correct without human intervention.

  skills/claude-mythos/self-healing-agents/SKILL.md on GitHub (opens in a new tab)

• session-archaeology

  Session Archaeology is the systematic excavation and analysis of past agent sessions to extract reusable patterns, identify recurring failure modes, and derive new skills from operational history.

  skills/claude-mythos/session-archaeology/SKILL.md on GitHub (opens in a new tab)

• verification-loops

  Verification Loops are systematic evaluation pipelines that validate agent outputs at every stage of execution.

  skills/claude-mythos/verification-loops/SKILL.md on GitHub (opens in a new tab)

• ad-copy-generation

  The Ad Copy Generation skill produces high-performance responsive search ad (RSA) copy using AI-driven generation pipelines calibrated against millions of ad performance data points.

  skills/google-ads/ad-copy-generation/SKILL.md on GitHub (opens in a new tab)

• audience-targeting

  The Audience Targeting skill orchestrates Google Ads' full audience ecosystem to reach the right users at every stage of the conversion funnel.

  skills/google-ads/audience-targeting/SKILL.md on GitHub (opens in a new tab)

• budget-optimization

  The Budget Optimization skill applies AI-driven forecasting and portfolio theory to allocate advertising budgets across campaigns for maximum return.

  skills/google-ads/budget-optimization/SKILL.md on GitHub (opens in a new tab)

• competitor-analysis

  The Competitor Analysis skill transforms Google Ads auction data into actionable competitive intelligence.

  skills/google-ads/competitor-analysis/SKILL.md on GitHub (opens in a new tab)

• conversion-tracking

  The Conversion Tracking skill provides end-to-end management of Google Ads conversion measurement infrastructure.

  skills/google-ads/conversion-tracking/SKILL.md on GitHub (opens in a new tab)

• google-ads-audit

  The Google Ads Account Audit skill executes a comprehensive, pattern-driven analysis of any Google Ads account using a proprietary 1,000-pattern knowledge base.

  skills/google-ads/google-ads-audit/SKILL.md on GitHub (opens in a new tab)

• keyword-research

  The Keyword Research skill delivers a systematic approach to keyword discovery, expansion, and optimization for Google Ads campaigns.

  skills/google-ads/keyword-research/SKILL.md on GitHub (opens in a new tab)

• landing-page-audit

  The Landing Page Audit skill performs comprehensive evaluations of post-click experiences, combining technical performance analysis with conversion rate optimization (CRO) assessment.

  skills/google-ads/landing-page-audit/SKILL.md on GitHub (opens in a new tab)

• pmax-optimization

  The Performance Max Optimization skill provides expert-level management of Google's most automated campaign type.

  skills/google-ads/pmax-optimization/SKILL.md on GitHub (opens in a new tab)

• quality-score-optimization

  The Quality Score Optimization skill provides a systematic framework for diagnosing, tracking, and improving Quality Score across every keyword in a Google Ads account.

  skills/google-ads/quality-score-optimization/SKILL.md on GitHub (opens in a new tab)

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